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SUMMARY:Michael Lindstrom (University of Texas Rio Grande Valley)
DTSTART:20230301T213000Z
DTEND:20230301T223000Z
DTSTAMP:20260411T104611Z
UID:EarlyCareer/21
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/EarlyCareer/
 21/">Anomalies and Commonalities</a>\nby Michael Lindstrom (University of 
 Texas Rio Grande Valley) as part of Early Career Math Colloquium\n\n\nAbst
 ract\nThis talk will cover two research projects. In the first\, we seek t
 o identify contextual anomalies among time series with possible missing da
 ta. By generalizing Kernel Density Estimation to Hilbert Spaces\, we devel
 op tools to identify anomalous time series\, test them against competing m
 ethods on synthetic data\, and then employ the tools to identify anomalous
  event records among airplane fleets. In the second project\, we combine t
 opic modelling through Nonnegative Matrix Factorization and regression on 
 a continuous observation variable. Previous authors have covered the case 
 of topic modelling for classification\; here\, we show the idea can be ext
 ended to regression\, applying it to Rate My Professors reviews and predic
 ting an instructors mean rating from the written comments. We identify int
 erpretable groups of words (topics)\, such that their level of representat
 ion in a review has a quantifiable effect on the associated rating.\n
LOCATION:https://researchseminars.org/talk/EarlyCareer/21/
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